Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

Oxford researchers found that deep neural networks naturally favor simpler solutions, enhancing their ability to generalize ...

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate ...

Researchers at Oxford University uncover how deep neural networks possess an intrinsic simplicity bias, enabling them to ...

Deep neural networks (DNNs) have revolutionized machine learning, yet their success defies classical expectations. They ...

Neuroscientists have identified that the receptor IL-1R1 plays a critical role in enabling neurons to directly communicate with the immune system. The new study provides the most detailed mapping of ...

These hairs convert vibrations from sound waves into neural signals that your auditory nerve carries to your brain. Exposure to sounds louder than 85 decibels can damage these hairs. Eighty-five ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...